---
title: 'Engineering Manager, Fraud & Compliance at Mercor'
canonical: 'https://feeny.ai/job/engineering-manager-fraud-compliance-mercor-san-francisco-tmaq1dnn0j7r'
type: 'job'
last_seen: '2026-11-07'
---

# Engineering Manager, Fraud & Compliance at Mercor

- **Company:** Mercor
- **Location:** San Francisco, CA
- **Compensation:** $250k–$400k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-19
- **Last confirmed live:** 2026-11-07
- **Apply:** https://jobs.ashbyhq.com/mercor/f455b12b-7982-46d4-a46a-df018203b559/application

**Skills:** Backend software engineering, Production systems at scale, Engineering management, Machine learning, AI systems, Decision engines, Risk-scoring platforms, Fraud infrastructure, Trust & safety infrastructure, Payments infrastructure, Abuse prevention systems

> Lead a high-performing engineering team to build fraud detection, identity verification, and compliance systems for Mercor's AI expert marketplace. Define the engineering roadmap, drive AI-powered decision engines, and ensure platform integrity at scale.

## Job description

## About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. We're building the infrastructure that powers one of the world's largest expert networks and delivers expert data at unprecedented scale. We're looking for exceptional engineering leaders to help us protect the integrity of that ecosystem — building the fraud, risk, and compliance systems that make a global expert marketplace trustworthy at scale. We value builders who have repeatedly chosen difficult problems, thrived in environments with high expectations, and can point to concrete examples where their leadership materially changed the trajectory of a team, product, or company.

## Why This Role

We're still early. Fraud is one of Mercor's most important business challenges. Every day, we process enormous volumes of applications, assessments, identity verifications, and work activity across a global talent network. Protecting that ecosystem requires sophisticated systems that can identify fraudulent behavior, evaluate risk, and make accurate decisions at scale — and the playbooks for doing it on an AI-native expert marketplace don't yet exist. Fraud is an adversarial problem. The solutions that work today may not work six months from now. You'll lead engineering efforts focused on:

- Fraud detection and platform integrity — identity verification, abuse prevention, risk scoring, and the LLM-powered decision engines and evaluation pipelines that catch fraudulent behavior as attackers adapt
- Compliance and operational infrastructure — the reliability, scalability, and core foundations that allow Mercor to operate globally and meet the obligations of working with the world's leading AI organizations

You'll be responsible for building systems that sit at the center of the AI ecosystem and protect the trust that makes expert knowledge usable at scale.

## What You'll Do

- Lead and grow a high-performing team of engineers responsible for fraud detection, identity verification, abuse prevention, and platform integrity
- Define and execute Mercor's fraud and compliance engineering roadmap in partnership with product, operations, and company leadership
- Build systems that generate fraud signals, evaluate risk, make automated decisions, and continuously improve through human review and feedback loops
- Drive the development of AI-powered detection systems, including LLM-based decision engines, scoring models, and review workflows
- Establish rigorous evaluation frameworks to measure detection performance, confidence calibration, false positive/negative tradeoffs, and business impact
- Recruit exceptional engineers and raise the talent bar across the organization
- Partner closely with product, operations, and company leadership
- Drive engineering excellence, velocity, and operational rigor in an adversarial, fast-moving domain

## Basic Qualifications

- Educational Requirements: Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics or Statistics
- 5+ years of backend software engineering experience building and operating production systems at scale
- 3+ years of engineering management experience leading high-performing software engineering teams
- Experience leading teams through periods of significant scale, ambiguity, or rapid change, with clear examples of the impact you've personally driven

Nice-to Have Qualifications

- 2+ years delivering infrastructure for fraud, trust & safety, risk, identity, payments, abuse prevention, or other adversarial domains
- 2+ years working with machine learning, AI systems, decision engines, or risk-scoring platforms

## Benefits

- Generous equity, vested over 4 years
- Up to $15K relocation bonus
- $10K housing bonus (if you live within 0.5 miles of the office)
- $1,500/month meals stipend
- Free Equinox membership
- $200/month laundry reimbursement
- $200/month personal wellness reimbursement
- Health, Dental, and Vision insurance

## About Mercor

## Company Overview
- **One-liner**: Mercor organizes human intelligence to power the AI economy by connecting domain experts with frontier AI labs and enterprises for model training, evaluation, and deployment.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Francisco, California, USA (with offices in New York City and London)
- **Founded**: 2023
- **Founders**: Brendan Foody & Adarsh Hiremath (Co-founders & Co-CEOs)

## Core Business
- Primary industry: AI Data & Infrastructure, Human-in-the-Loop AI, Enterprise AI
- Target customers: Frontier AI labs (OpenAI, Anthropic, etc.), Fortune 500 enterprises deploying AI in production, and domain experts seeking high-value AI work
- Mission: Organizing human intelligence to power the AI economy — building the layer between human expertise and frontier models.

## Products & Services
- **Mercor Platform**: A global network of millions of domain experts across 300+ professional fields, paid over $3 million per day to train frontier AI models. Experts are found and vetted using dynamic, role-specific AI interviews.
- **APEX Benchmark**: A benchmark family that measures AI's real-world impact on professional work, setting a standard for whether AI can perform economically valuable work.
- **Mercor Enterprise**: Brings Mercor's expert network and evaluation infrastructure to Fortune 500 companies, deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.

## Market Standing
- **Valuation**: $10 billion valuation (as of Series C)
- **Key Metric**: Total Funding — $350 million Series C (recently raised); company is profitable
- **Notable Investors/Partners**: Not explicitly named in provided sources, but the company works with leading AI labs and Fortune 500 enterprises
- **Growth Signals**: 
  - Named to Bloomberg's "2026 24 AI Startups to Watch"
  - Forbes AI 50 (2025)
  - Forbes Cloud 100 (2025)
  - LinkedIn Top Startup (2025)
  - Described as "the fastest-growing company in the world"
  - Tens of thousands of skilled professionals earning an average of more than $95/hour on the platform

## Competitive Advantages
- **Massive, vetted expert network**: Millions of domain experts across 300+ fields, found and vetted via AI-driven interviews — a hard-to-replicate moat.
- **Direct frontier model exposure**: Every team works directly with frontier models, training them and building around them — most companies haven't imagined this level of integration.
- **Profitability at scale**: Profitable at Series C with a $10B valuation, indicating strong unit economics.
- **End-to-end AI infrastructure**: From expert sourcing and vetting to model evaluation (APEX) to enterprise deployment — a vertically integrated stack.

## Strategic Focus
- **Scaling the expert network**: Continuing to onboard millions of domain experts globally to meet the insatiable demand for high-quality human training data.
- **Enterprise AI deployment**: Expanding Mercor Enterprise to help Fortune 500 companies encode organizational knowledge into AI systems and deploy custom agents.
- **Benchmarking AI's economic impact**: Growing the APEX benchmark as the standard for measuring whether AI can perform economically valuable work.
- **Preparing for AGI**: The company's founding thesis is about answering what role humans will play in the economy as AGI approaches.

## Why Work Here
- **Culture**: "Built for people who thrive in high-velocity environments." Values include Intensity, Simplicity, User Obsession, High Standards, Can-Do Attitude, and Time Travelers (thinking ahead).
- **Work model**: In-person collaboration from offices in San Francisco, New York City, and London. No remote option — the company believes in-person collaboration helps move faster and solve harder problems.
- **Engineering culture**: Direct exposure to frontier AI research, labs, and startups. Every team works with frontier models daily. Described as "the fastest-growing company in the world."
- **Compensation**: Generous equity grants, competitive salaries (ranges from $100K–$500K depending on role), and a "proximity bonus" (generous annual housing support).
- **Benefits**: 
  - Unlimited paid vacation and sick days
  - Free Equinox membership (premium fitness access)
  - Monthly wellness stipend and free mental health services
  - Monthly food stipend
  - 401k with employer match
  - Parental leave for both birthing and non-birthing parents
- **Team**: "A team of ambitious, diverse people who want to work on what matters most." Open roles across Engineering (31 roles), Operations (15 roles), Enterprise (5 roles), Finance (4 roles), and more.

## Sources
1. [mercor.com](https://www.mercor.com/)
2. [mercor.com/careers](https://www.mercor.com/careers/)
3. [mercor.com/mission](https://www.mercor.com/mission/)
4. [jobs.ashbyhq.com/mercor](https://jobs.ashbyhq.com/mercor)
5. [linkedin.com/company/mercor-ai](https://www.linkedin.com/company/mercor-ai)

## Other roles at Mercor

- [Partnerships Lead, AI Infrastructure & Post-Training](https://feeny.ai/job/partnerships-lead-ai-infrastructure-post-training-mercor-mercor-hq-kv8p4kg5hjmm) — Mercor Hq, 181 Fremont Street
- [Partnerships Lead, Consulting & SI Partners](https://feeny.ai/job/partnerships-lead-consulting-si-partners-mercor-mercor-hq-yzde539yj2wv) — Mercor Hq, 181 Fremont Street
- [Engagement Manager, Legal](https://feeny.ai/job/engagement-manager-legal-mercor-san-francisco-4wjy3zs32zva) — San Francisco, CA
- [Engagement Manager, Code](https://feeny.ai/job/engagement-manager-code-mercor-san-francisco-sa5jfvn94mhj) — San Francisco, CA
- [Software Engineer, Discovery](https://feeny.ai/job/software-engineer-discovery-mercor-san-francisco-32tkbxbvnznh) — San Francisco, CA
- [Senior Software Engineer, Discovery](https://feeny.ai/job/senior-software-engineer-discovery-mercor-san-francisco-y6tzdfe5gphn) — San Francisco, CA
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- [Senior Growth Lead](https://feeny.ai/job/senior-growth-lead-mercor-san-francisco-z0mjagjqqm0y) — San Francisco, CA
- [GTM Recruiter](https://feeny.ai/job/gtm-recruiter-mercor-mercor-hq-4wtg3p9vdh5m) — Mercor Hq, 181 Fremont Street
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